TUNABLE HYPERSPECTRAL-POLARIMETRIC IMAGING SYSTEM

    公开(公告)号:US20240288309A1

    公开(公告)日:2024-08-29

    申请号:US18573375

    申请日:2021-06-23

    Abstract: A tunable hyperspectral-polarimetric filter system includes a first polarizer, a crystal filter and a second polarizer. The first polarizer is configured to transmit light in a first direction of linear polarization. The polarization selection may be substantially the same for all wavelengths at a spectral range of interest. The crystal filter, may be parallelly and coaxially disposed after the first polarizer. The crystal filter is configured to rotates the first direction of linear polarization for light transmitted by the first polarizer, wherein rotation angles differ for different wavelengths at the spectral range of interest. The second polarizer may be parallelly and coaxially disposed after the crystal filter. The second polarizer may substantially transmit a second direction of linear polarization of the light transmitted by the crystal filter. The first polarizer and/or the second polarizer are rotatable to tune for different transmission spectra for spectral and polarimetric imaging resolution.

    HEAT ASSISTED DETECTION AND RANGING BASED ON SPECTROPOLARIMETRIC IMAGING

    公开(公告)号:US20230341265A1

    公开(公告)日:2023-10-26

    申请号:US17778842

    申请日:2020-12-06

    Abstract: A method of generating object surface texture in thermal infrared images is disclosed which includes receiving heat radiation from a scene by a spectropolarimetric imaging system, generating a plurality of spectral frames associated with the scene, each frame having a plurality of pixels, for each pixel from the generated plurality of spectral frames, extracting spectral information associated with the scene, including pixel-specific temperature representing an objects temperature, and thermal texture factor representing the objects texture, for each of a plurality of materials having a specific emissivity in a library, generating reference spectral information as a function of temperature and thermal texture, matching the extracted spectral information for each pixel from the generated plurality of spectral frames to the generated reference spectral information using a statistical method to minimize the associated variation, and extracting spectral metadata from the matched reference spectral information for the associated material based on the match.

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